We empirically set the hyper-parameter as \(\alpha =0.9\) . The batch size is set as four. We use Adam optimize [1]} with the default parameters. The learning rate is \(1 \times 10^{-4}\)  with manual decay. The default frame rate of the video is set to 25 frames per second. We binarize the prediction mask by setting the threshold \(\emph {Th}\)  as \(0.5\) .
